Overview
Brought to you by YData
Dataset statistics
| Number of variables | 21 |
|---|---|
| Number of observations | 18290 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 3.1 MiB |
| Average record size in memory | 176.0 B |
Variable types
| DateTime | 1 |
|---|---|
| TimeSeries | 18 |
| Categorical | 2 |
Timeseries statistics
| Number of series | 18 |
|---|---|
| Time series length | 18290 |
| Starting point | 2022-09-01 00:00:00 |
| Ending point | 2024-10-03 00:00:00 |
| Period | 1 hour and 5.05 seconds |
fltValPronostico is non stationary | Non stationary |
iNumDia is non stationary | Non stationary |
iNumSemana is non stationary | Non stationary |
iNumDiaSemana is non stationary | Non stationary |
iNumMes is non stationary | Non stationary |
iCodDia is non stationary | Non stationary |
iCodHora is non stationary | Non stationary |
iNumHora is non stationary | Non stationary |
fltTemp is non stationary | Non stationary |
fltProbabilidadLluvia is non stationary | Non stationary |
fltHumedadRelativa is non stationary | Non stationary |
fltVelocidadViento is non stationary | Non stationary |
fltCoberturaNubes is non stationary | Non stationary |
fltIndiceUV is non stationary | Non stationary |
iCodDirViento is non stationary | Non stationary |
fltVelocidadRafaga is non stationary | Non stationary |
fltDPT is non stationary | Non stationary |
fltValPronostico is seasonal | Seasonal |
iNumDia is seasonal | Seasonal |
iNumSemana is seasonal | Seasonal |
iNumDiaSemana is seasonal | Seasonal |
iNumMes is seasonal | Seasonal |
iNumHora is seasonal | Seasonal |
fltTemp is seasonal | Seasonal |
fltProbabilidadLluvia is seasonal | Seasonal |
fltHumedadRelativa is seasonal | Seasonal |
fltVelocidadViento is seasonal | Seasonal |
fltCoberturaNubes is seasonal | Seasonal |
fltIndiceUV is seasonal | Seasonal |
iCodDirViento is seasonal | Seasonal |
fltVelocidadRafaga is seasonal | Seasonal |
fltDPT is seasonal | Seasonal |
fltPrecipitacion is highly skewed (γ1 = 34.19037814) | Skewed |
iCodDia is uniformly distributed | Uniform |
iCodHora is uniformly distributed | Uniform |
iCodHora has unique values | Unique |
fltValPronostico has 8419 (46.0%) zeros | Zeros |
fltProbabilidadLluvia has 11516 (63.0%) zeros | Zeros |
fltCoberturaNubes has 2064 (11.3%) zeros | Zeros |
fltIndiceUV has 10148 (55.5%) zeros | Zeros |
fltPrecipitacion has 18241 (99.7%) zeros | Zeros |
fltDPT has 338 (1.8%) zeros | Zeros |
Reproduction
| Analysis started | 2025-02-03 04:13:03.873513 |
|---|---|
| Analysis finished | 2025-02-03 04:14:59.971609 |
| Duration | 1 minute and 56.1 seconds |
| Software version | ydata-profiling vv4.12.2 |
| Download configuration | config.json |
Variables
dtHora
Date
| Distinct | 18289 |
|---|---|
| Distinct (%) | > 99.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 285.8 KiB |
| Minimum | 2022-09-01 00:00:00 |
|---|---|
| Maximum | 2024-10-03 00:00:00 |
| Invalid dates | 0 |
| Invalid dates (%) | 0.0% |
Histogram with fixed size bins (bins=50)
fltValPronostico
Numeric time series
Non stationary Seasonal Zeros
| Distinct | 6576 |
|---|---|
| Distinct (%) | 36.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9392.4704 |
|---|---|
| Minimum | 0 |
| Maximum | 30000 |
| Zeros | 8419 |
| Zeros (%) | 46.0% |
| Memory size | 285.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 532 |
| Q3 | 21829.75 |
| 95-th percentile | 28373.1 |
| Maximum | 30000 |
| Range | 30000 |
| Interquartile range (IQR) | 21829.75 |
Descriptive statistics
| Standard deviation | 11398.664 |
|---|---|
| Coefficient of variation (CV) | 1.213596 |
| Kurtosis | -1.3253582 |
| Mean | 9392.4704 |
| Median Absolute Deviation (MAD) | 532 |
| Skewness | 0.64150474 |
| Sum | 1.7178828 × 108 |
| Variance | 1.2992955 × 108 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 2.493492496 × 10-9 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 1 |
|---|---|
| min | 1 day and 1 hour |
| max | 1 day and 1 hour |
| mean | 1 day and 1 hour |
| std | 0 |
| Value | Count | Frequency (%) |
| 0 | 8419 | |
| 30000 | 98 | 0.5% |
| 28500 | 24 | 0.1% |
| 27041 | 20 | 0.1% |
| 27861 | 19 | 0.1% |
| 24 | 19 | 0.1% |
| 27000 | 19 | 0.1% |
| 25263 | 19 | 0.1% |
| 27441 | 18 | 0.1% |
| 25500 | 18 | 0.1% |
| Other values (6566) | 9617 |
| Value | Count | Frequency (%) |
| 0 | 8419 | |
| 1 | 7 | < 0.1% |
| 2 | 15 | 0.1% |
| 3 | 9 | < 0.1% |
| 4 | 15 | 0.1% |
| 5 | 8 | < 0.1% |
| 6 | 7 | < 0.1% |
| 6.151029118 | 1 | < 0.1% |
| 6.584958692 | 1 | < 0.1% |
| 7 | 5 | < 0.1% |
| Value | Count | Frequency (%) |
| 30000 | 98 | |
| 29968 | 1 | < 0.1% |
| 29964 | 1 | < 0.1% |
| 29951 | 3 | < 0.1% |
| 29950 | 1 | < 0.1% |
| 29946 | 5 | < 0.1% |
| 29936 | 5 | < 0.1% |
| 29935 | 5 | < 0.1% |
| 29933 | 12 | 0.1% |
| 29930 | 1 | < 0.1% |
ACF and PACF
iNumDia
Numeric time series
Non stationary Seasonal
| Distinct | 31 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.681137 |
|---|---|
| Minimum | 1 |
| Maximum | 31 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 285.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 8 |
| median | 16 |
| Q3 | 23 |
| 95-th percentile | 29 |
| Maximum | 31 |
| Range | 30 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 8.8182863 |
|---|---|
| Coefficient of variation (CV) | 0.56234992 |
| Kurtosis | -1.1961921 |
| Mean | 15.681137 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | 0.010111028 |
| Sum | 286808 |
| Variance | 77.762174 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 1.058995907 × 10-13 |
Histogram with fixed size bins (bins=31)
Gap statistics
| number of gaps | 1 |
|---|---|
| min | 1 day and 1 hour |
| max | 1 day and 1 hour |
| mean | 1 day and 1 hour |
| std | 0 |
| Value | Count | Frequency (%) |
| 1 | 624 | 3.4% |
| 2 | 624 | 3.4% |
| 3 | 601 | 3.3% |
| 4 | 600 | 3.3% |
| 5 | 600 | 3.3% |
| 6 | 600 | 3.3% |
| 7 | 600 | 3.3% |
| 8 | 600 | 3.3% |
| 9 | 600 | 3.3% |
| 10 | 600 | 3.3% |
| Other values (21) | 12241 |
| Value | Count | Frequency (%) |
| 1 | 624 | |
| 2 | 624 | |
| 3 | 601 | |
| 4 | 600 | |
| 5 | 600 | |
| 6 | 600 | |
| 7 | 600 | |
| 8 | 600 | |
| 9 | 600 | |
| 10 | 600 |
| Value | Count | Frequency (%) |
| 31 | 336 | |
| 30 | 553 | |
| 29 | 576 | |
| 28 | 600 | |
| 27 | 600 | |
| 26 | 600 | |
| 25 | 599 | |
| 24 | 577 | |
| 23 | 600 | |
| 22 | 600 |
ACF and PACF
iNumAnio
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 285.8 KiB |
| 2023 | |
|---|---|
| 2024 | |
| 2022 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2022 |
|---|---|
| 2nd row | 2022 |
| 3rd row | 2022 |
| 4th row | 2022 |
| 5th row | 2022 |
Common Values
| Value | Count | Frequency (%) |
| 2023 | 8736 | |
| 2024 | 6625 | |
| 2022 | 2929 | 16.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 2023 | 8736 | |
| 2024 | 6625 | |
| 2022 | 2929 | 16.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 39509 | |
| 0 | 18290 | |
| 3 | 8736 | 11.9% |
| 4 | 6625 | 9.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 73160 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 39509 | |
| 0 | 18290 | |
| 3 | 8736 | 11.9% |
| 4 | 6625 | 9.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 73160 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 2 | 39509 | |
| 0 | 18290 | |
| 3 | 8736 | 11.9% |
| 4 | 6625 | 9.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 73160 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2 | 39509 | |
| 0 | 18290 | |
| 3 | 8736 | 11.9% |
| 4 | 6625 | 9.1% |
iNumSemana
Numeric time series
Non stationary Seasonal
| Distinct | 53 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 27.233953 |
|---|---|
| Minimum | 1 |
| Maximum | 53 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 285.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 14 |
| median | 28 |
| Q3 | 40 |
| 95-th percentile | 50 |
| Maximum | 53 |
| Range | 52 |
| Interquartile range (IQR) | 26 |
Descriptive statistics
| Standard deviation | 15.038464 |
|---|---|
| Coefficient of variation (CV) | 0.5521954 |
| Kurtosis | -1.1921697 |
| Mean | 27.233953 |
| Median Absolute Deviation (MAD) | 13 |
| Skewness | -0.06527347 |
| Sum | 498109 |
| Variance | 226.15539 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0.133156825 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 1 |
|---|---|
| min | 1 day and 1 hour |
| max | 1 day and 1 hour |
| mean | 1 day and 1 hour |
| std | 0 |
| Value | Count | Frequency (%) |
| 37 | 504 | 2.8% |
| 39 | 504 | 2.8% |
| 38 | 504 | 2.8% |
| 40 | 433 | 2.4% |
| 36 | 408 | 2.2% |
| 45 | 337 | 1.8% |
| 41 | 336 | 1.8% |
| 43 | 336 | 1.8% |
| 42 | 336 | 1.8% |
| 44 | 336 | 1.8% |
| Other values (43) | 14256 |
| Value | Count | Frequency (%) |
| 1 | 312 | |
| 2 | 336 | |
| 3 | 336 | |
| 4 | 336 | |
| 5 | 336 | |
| 6 | 336 | |
| 7 | 336 | |
| 8 | 336 | |
| 9 | 336 | |
| 10 | 336 |
| Value | Count | Frequency (%) |
| 53 | 192 | |
| 52 | 336 | |
| 51 | 336 | |
| 50 | 336 | |
| 49 | 336 | |
| 48 | 336 | |
| 47 | 336 | |
| 46 | 336 | |
| 45 | 337 | |
| 44 | 336 |
ACF and PACF
iNumDiaSemana
Numeric time series
Non stationary Seasonal
| Distinct | 7 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.0024604 |
|---|---|
| Minimum | 1 |
| Maximum | 7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 285.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 4 |
| Q3 | 6 |
| 95-th percentile | 7 |
| Maximum | 7 |
| Range | 6 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.0001215 |
|---|---|
| Coefficient of variation (CV) | 0.499723 |
| Kurtosis | -1.2491195 |
| Mean | 4.0024604 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | -0.0026040829 |
| Sum | 73205 |
| Variance | 4.000486 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0 |
Histogram with fixed size bins (bins=7)
Gap statistics
| number of gaps | 1 |
|---|---|
| min | 1 day and 1 hour |
| max | 1 day and 1 hour |
| mean | 1 day and 1 hour |
| std | 0 |
| Value | Count | Frequency (%) |
| 5 | 2617 | |
| 1 | 2617 | |
| 6 | 2616 | |
| 7 | 2616 | |
| 4 | 2616 | |
| 3 | 2615 | |
| 2 | 2593 |
| Value | Count | Frequency (%) |
| 1 | 2617 | |
| 2 | 2593 | |
| 3 | 2615 | |
| 4 | 2616 | |
| 5 | 2617 | |
| 6 | 2616 | |
| 7 | 2616 |
| Value | Count | Frequency (%) |
| 7 | 2616 | |
| 6 | 2616 | |
| 5 | 2617 | |
| 4 | 2616 | |
| 3 | 2615 | |
| 2 | 2593 | |
| 1 | 2617 |
ACF and PACF
iNumMes
Numeric time series
Non stationary Seasonal
| Distinct | 12 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.6263532 |
|---|---|
| Minimum | 1 |
| Maximum | 12 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 285.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 4 |
| median | 7 |
| Q3 | 9 |
| 95-th percentile | 12 |
| Maximum | 12 |
| Range | 11 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.4173533 |
|---|---|
| Coefficient of variation (CV) | 0.51572158 |
| Kurtosis | -1.1977835 |
| Mean | 6.6263532 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | -0.083638309 |
| Sum | 121196 |
| Variance | 11.678304 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0.1623478077 |
Histogram with fixed size bins (bins=12)
Gap statistics
| number of gaps | 1 |
|---|---|
| min | 1 day and 1 hour |
| max | 1 day and 1 hour |
| mean | 1 day and 1 hour |
| std | 0 |
| Value | Count | Frequency (%) |
| 9 | 2160 | |
| 10 | 1538 | |
| 12 | 1488 | |
| 1 | 1488 | |
| 8 | 1488 | |
| 3 | 1488 | |
| 5 | 1488 | |
| 7 | 1464 | |
| 11 | 1440 | |
| 4 | 1440 | |
| Other values (2) | 2808 |
| Value | Count | Frequency (%) |
| 1 | 1488 | |
| 2 | 1368 | |
| 3 | 1488 | |
| 4 | 1440 | |
| 5 | 1488 | |
| 6 | 1440 | |
| 7 | 1464 | |
| 8 | 1488 | |
| 9 | 2160 | |
| 10 | 1538 |
| Value | Count | Frequency (%) |
| 12 | 1488 | |
| 11 | 1440 | |
| 10 | 1538 | |
| 9 | 2160 | |
| 8 | 1488 | |
| 7 | 1464 | |
| 6 | 1440 | |
| 5 | 1488 | |
| 4 | 1440 | |
| 3 | 1488 |
ACF and PACF
iCodDia
Numeric time series
Non stationary Uniform
| Distinct | 763 |
|---|---|
| Distinct (%) | 4.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6834.0337 |
|---|---|
| Minimum | 6452 |
| Maximum | 7215 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 285.8 KiB |
Quantile statistics
| Minimum | 6452 |
|---|---|
| 5-th percentile | 6491 |
| Q1 | 6643 |
| median | 6834 |
| Q3 | 7025 |
| 95-th percentile | 7177 |
| Maximum | 7215 |
| Range | 763 |
| Interquartile range (IQR) | 382 |
Descriptive statistics
| Standard deviation | 220.41935 |
|---|---|
| Coefficient of variation (CV) | 0.032253184 |
| Kurtosis | -1.2021457 |
| Mean | 6834.0337 |
| Median Absolute Deviation (MAD) | 191 |
| Skewness | -0.00089317689 |
| Sum | 1.2499448 × 108 |
| Variance | 48584.688 |
| Monotonicity | Increasing |
| Augmented Dickey-Fuller test p-value | 0.9332778153 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 1 |
|---|---|
| min | 1 day and 1 hour |
| max | 1 day and 1 hour |
| mean | 1 day and 1 hour |
| std | 0 |
| Value | Count | Frequency (%) |
| 6512 | 25 | 0.1% |
| 6462 | 24 | 0.1% |
| 7215 | 24 | 0.1% |
| 7214 | 24 | 0.1% |
| 6453 | 24 | 0.1% |
| 6454 | 24 | 0.1% |
| 6455 | 24 | 0.1% |
| 6456 | 24 | 0.1% |
| 6457 | 24 | 0.1% |
| 6458 | 24 | 0.1% |
| Other values (753) | 18049 |
| Value | Count | Frequency (%) |
| 6452 | 1 | < 0.1% |
| 6453 | 24 | |
| 6454 | 24 | |
| 6455 | 24 | |
| 6456 | 24 | |
| 6457 | 24 | |
| 6458 | 24 | |
| 6459 | 24 | |
| 6460 | 24 | |
| 6461 | 24 |
| Value | Count | Frequency (%) |
| 7215 | 24 | |
| 7214 | 24 | |
| 7213 | 24 | |
| 7212 | 24 | |
| 7211 | 24 | |
| 7210 | 24 | |
| 7209 | 24 | |
| 7208 | 24 | |
| 7207 | 24 | |
| 7206 | 24 |
ACF and PACF
iCodHora
Numeric time series
Non stationary Uniform Unique
| Distinct | 18290 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 164005.23 |
|---|---|
| Minimum | 154847 |
| Maximum | 173160 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 285.8 KiB |
Quantile statistics
| Minimum | 154847 |
|---|---|
| 5-th percentile | 155761.45 |
| Q1 | 159419.25 |
| median | 164015.5 |
| Q3 | 168587.75 |
| 95-th percentile | 172245.55 |
| Maximum | 173160 |
| Range | 18313 |
| Interquartile range (IQR) | 9168.5 |
Descriptive statistics
| Standard deviation | 5290.1925 |
|---|---|
| Coefficient of variation (CV) | 0.032256242 |
| Kurtosis | -1.2020702 |
| Mean | 164005.23 |
| Median Absolute Deviation (MAD) | 4584.5 |
| Skewness | -0.00096126801 |
| Sum | 2.9996557 × 109 |
| Variance | 27986136 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0.9322074419 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 1 |
|---|---|
| min | 1 day and 1 hour |
| max | 1 day and 1 hour |
| mean | 1 day and 1 hour |
| std | 0 |
| Value | Count | Frequency (%) |
| 173160 | 1 | < 0.1% |
| 154847 | 1 | < 0.1% |
| 173144 | 1 | < 0.1% |
| 173143 | 1 | < 0.1% |
| 173142 | 1 | < 0.1% |
| 173141 | 1 | < 0.1% |
| 173140 | 1 | < 0.1% |
| 173139 | 1 | < 0.1% |
| 173138 | 1 | < 0.1% |
| 173137 | 1 | < 0.1% |
| Other values (18280) | 18280 |
| Value | Count | Frequency (%) |
| 154847 | 1 | |
| 154848 | 1 | |
| 154849 | 1 | |
| 154850 | 1 | |
| 154851 | 1 | |
| 154852 | 1 | |
| 154853 | 1 | |
| 154854 | 1 | |
| 154855 | 1 | |
| 154856 | 1 |
| Value | Count | Frequency (%) |
| 173160 | 1 | |
| 173159 | 1 | |
| 173158 | 1 | |
| 173157 | 1 | |
| 173156 | 1 | |
| 173155 | 1 | |
| 173154 | 1 | |
| 173153 | 1 | |
| 173152 | 1 | |
| 173151 | 1 |
ACF and PACF
iNumHora
Numeric time series
Non stationary Seasonal
| Distinct | 25 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 12.501312 |
|---|---|
| Minimum | 1 |
| Maximum | 25 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 285.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 7 |
| median | 13 |
| Q3 | 19 |
| 95-th percentile | 23 |
| Maximum | 25 |
| Range | 24 |
| Interquartile range (IQR) | 12 |
Descriptive statistics
| Standard deviation | 6.9231365 |
|---|---|
| Coefficient of variation (CV) | 0.55379279 |
| Kurtosis | -1.2041633 |
| Mean | 12.501312 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 3.8301477 × 10-6 |
| Sum | 228649 |
| Variance | 47.929819 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0 |
Histogram with fixed size bins (bins=25)
Gap statistics
| number of gaps | 1 |
|---|---|
| min | 1 day and 1 hour |
| max | 1 day and 1 hour |
| mean | 1 day and 1 hour |
| std | 0 |
| Value | Count | Frequency (%) |
| 24 | 763 | 4.2% |
| 1 | 762 | 4.2% |
| 2 | 762 | 4.2% |
| 3 | 762 | 4.2% |
| 4 | 762 | 4.2% |
| 5 | 762 | 4.2% |
| 6 | 762 | 4.2% |
| 7 | 762 | 4.2% |
| 8 | 762 | 4.2% |
| 9 | 762 | 4.2% |
| Other values (15) | 10669 |
| Value | Count | Frequency (%) |
| 1 | 762 | |
| 2 | 762 | |
| 3 | 762 | |
| 4 | 762 | |
| 5 | 762 | |
| 6 | 762 | |
| 7 | 762 | |
| 8 | 762 | |
| 9 | 762 | |
| 10 | 762 |
| Value | Count | Frequency (%) |
| 25 | 1 | < 0.1% |
| 24 | 763 | |
| 23 | 762 | |
| 22 | 762 | |
| 21 | 762 | |
| 20 | 762 | |
| 19 | 762 | |
| 18 | 762 | |
| 17 | 762 | |
| 16 | 762 |
ACF and PACF
fltTemp
Numeric time series
Non stationary Seasonal
| Distinct | 40 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 19.456698 |
|---|---|
| Minimum | 0 |
| Maximum | 39 |
| Zeros | 3 |
| Zeros (%) | < 0.1% |
| Memory size | 285.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 9 |
| Q1 | 15 |
| median | 19 |
| Q3 | 24 |
| 95-th percentile | 31 |
| Maximum | 39 |
| Range | 39 |
| Interquartile range (IQR) | 9 |
Descriptive statistics
| Standard deviation | 6.6365386 |
|---|---|
| Coefficient of variation (CV) | 0.34109275 |
| Kurtosis | -0.29225007 |
| Mean | 19.456698 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 0.15677598 |
| Sum | 355863 |
| Variance | 44.043644 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 2.390621417 × 10-6 |
Histogram with fixed size bins (bins=40)
Gap statistics
| number of gaps | 1 |
|---|---|
| min | 1 day and 1 hour |
| max | 1 day and 1 hour |
| mean | 1 day and 1 hour |
| std | 0 |
| Value | Count | Frequency (%) |
| 17 | 1333 | 7.3% |
| 18 | 1327 | 7.3% |
| 19 | 1184 | 6.5% |
| 16 | 1158 | 6.3% |
| 20 | 972 | 5.3% |
| 21 | 877 | 4.8% |
| 22 | 833 | 4.6% |
| 15 | 787 | 4.3% |
| 23 | 762 | 4.2% |
| 24 | 752 | 4.1% |
| Other values (30) | 8305 |
| Value | Count | Frequency (%) |
| 0 | 3 | < 0.1% |
| 1 | 12 | 0.1% |
| 2 | 10 | 0.1% |
| 3 | 27 | 0.1% |
| 4 | 56 | 0.3% |
| 5 | 107 | 0.6% |
| 6 | 139 | |
| 7 | 210 | |
| 8 | 302 | |
| 9 | 330 |
| Value | Count | Frequency (%) |
| 39 | 3 | < 0.1% |
| 38 | 17 | 0.1% |
| 37 | 51 | 0.3% |
| 36 | 73 | 0.4% |
| 35 | 78 | 0.4% |
| 34 | 119 | 0.7% |
| 33 | 176 | |
| 32 | 234 | |
| 31 | 310 | |
| 30 | 380 |
ACF and PACF
fltProbabilidadLluvia
Numeric time series
Non stationary Seasonal Zeros
| Distinct | 80 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.9125752 |
|---|---|
| Minimum | 0 |
| Maximum | 90 |
| Zeros | 11516 |
| Zeros (%) | 63.0% |
| Memory size | 285.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 6 |
| 95-th percentile | 44 |
| Maximum | 90 |
| Range | 90 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 13.166862 |
|---|---|
| Coefficient of variation (CV) | 2.226925 |
| Kurtosis | 7.668959 |
| Mean | 5.9125752 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 2.8277654 |
| Sum | 108141 |
| Variance | 173.36624 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 7.787078073 × 10-19 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 1 |
|---|---|
| min | 1 day and 1 hour |
| max | 1 day and 1 hour |
| mean | 1 day and 1 hour |
| std | 0 |
| Value | Count | Frequency (%) |
| 0 | 11516 | |
| 7 | 1582 | 8.6% |
| 1 | 690 | 3.8% |
| 20 | 576 | 3.1% |
| 6 | 434 | 2.4% |
| 5 | 427 | 2.3% |
| 2 | 384 | 2.1% |
| 4 | 295 | 1.6% |
| 3 | 285 | 1.6% |
| 47 | 252 | 1.4% |
| Other values (70) | 1849 | 10.1% |
| Value | Count | Frequency (%) |
| 0 | 11516 | |
| 1 | 690 | 3.8% |
| 2 | 384 | 2.1% |
| 3 | 285 | 1.6% |
| 4 | 295 | 1.6% |
| 5 | 427 | 2.3% |
| 6 | 434 | 2.4% |
| 7 | 1582 | 8.6% |
| 8 | 40 | 0.2% |
| 9 | 26 | 0.1% |
| Value | Count | Frequency (%) |
| 90 | 7 | |
| 88 | 1 | < 0.1% |
| 84 | 1 | < 0.1% |
| 80 | 7 | |
| 79 | 3 | |
| 75 | 7 | |
| 74 | 2 | < 0.1% |
| 73 | 6 | |
| 72 | 4 | |
| 71 | 7 |
ACF and PACF
fltHumedadRelativa
Numeric time series
Non stationary Seasonal
| Distinct | 98 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 58.879224 |
|---|---|
| Minimum | 3 |
| Maximum | 100 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 285.8 KiB |
Quantile statistics
| Minimum | 3 |
|---|---|
| 5-th percentile | 14 |
| Q1 | 37 |
| median | 62 |
| Q3 | 83 |
| 95-th percentile | 94 |
| Maximum | 100 |
| Range | 97 |
| Interquartile range (IQR) | 46 |
Descriptive statistics
| Standard deviation | 26.112205 |
|---|---|
| Coefficient of variation (CV) | 0.44348759 |
| Kurtosis | -1.1479525 |
| Mean | 58.879224 |
| Median Absolute Deviation (MAD) | 22 |
| Skewness | -0.28285682 |
| Sum | 1076901 |
| Variance | 681.84724 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 9.818442855 × 10-13 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 1 |
|---|---|
| min | 1 day and 1 hour |
| max | 1 day and 1 hour |
| mean | 1 day and 1 hour |
| std | 0 |
| Value | Count | Frequency (%) |
| 85 | 394 | 2.2% |
| 87 | 392 | 2.1% |
| 88 | 373 | 2.0% |
| 86 | 362 | 2.0% |
| 84 | 354 | 1.9% |
| 89 | 339 | 1.9% |
| 82 | 324 | 1.8% |
| 90 | 323 | 1.8% |
| 83 | 309 | 1.7% |
| 81 | 298 | 1.6% |
| Other values (88) | 14822 |
| Value | Count | Frequency (%) |
| 3 | 1 | < 0.1% |
| 4 | 11 | 0.1% |
| 5 | 21 | 0.1% |
| 6 | 44 | 0.2% |
| 7 | 53 | 0.3% |
| 8 | 65 | |
| 9 | 104 | |
| 10 | 112 | |
| 11 | 139 | |
| 12 | 123 |
| Value | Count | Frequency (%) |
| 100 | 278 | |
| 99 | 76 | 0.4% |
| 98 | 69 | 0.4% |
| 97 | 114 | |
| 96 | 139 | |
| 95 | 177 | |
| 94 | 193 | |
| 93 | 223 | |
| 92 | 254 | |
| 91 | 262 |
ACF and PACF
fltVelocidadViento
Numeric time series
Non stationary Seasonal
| Distinct | 41 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 12.577255 |
|---|---|
| Minimum | 0 |
| Maximum | 57 |
| Zeros | 4 |
| Zeros (%) | < 0.1% |
| Memory size | 285.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 6 |
| Q1 | 7 |
| median | 11 |
| Q3 | 17 |
| 95-th percentile | 24 |
| Maximum | 57 |
| Range | 57 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 6.4797591 |
|---|---|
| Coefficient of variation (CV) | 0.5151966 |
| Kurtosis | 2.0333614 |
| Mean | 12.577255 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 1.211072 |
| Sum | 230038 |
| Variance | 41.987279 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 1.336509368 × 10-19 |
Histogram with fixed size bins (bins=41)
Gap statistics
| number of gaps | 1 |
|---|---|
| min | 1 day and 1 hour |
| max | 1 day and 1 hour |
| mean | 1 day and 1 hour |
| std | 0 |
| Value | Count | Frequency (%) |
| 7 | 2994 | |
| 9 | 2656 | |
| 6 | 2196 | |
| 11 | 2036 | |
| 13 | 1595 | |
| 15 | 1380 | |
| 17 | 1152 | 6.3% |
| 19 | 987 | 5.4% |
| 20 | 836 | 4.6% |
| 22 | 691 | 3.8% |
| Other values (31) | 1767 |
| Value | Count | Frequency (%) |
| 0 | 4 | < 0.1% |
| 1 | 8 | < 0.1% |
| 2 | 33 | 0.2% |
| 3 | 18 | 0.1% |
| 4 | 344 | 1.9% |
| 5 | 19 | 0.1% |
| 6 | 2196 | |
| 7 | 2994 | |
| 8 | 15 | 0.1% |
| 9 | 2656 |
| Value | Count | Frequency (%) |
| 57 | 1 | < 0.1% |
| 56 | 2 | < 0.1% |
| 54 | 1 | < 0.1% |
| 52 | 4 | < 0.1% |
| 50 | 3 | < 0.1% |
| 48 | 2 | < 0.1% |
| 46 | 2 | < 0.1% |
| 44 | 14 | |
| 43 | 8 | |
| 41 | 18 |
ACF and PACF
fltCoberturaNubes
Numeric time series
Non stationary Seasonal Zeros
| Distinct | 101 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 50.308201 |
|---|---|
| Minimum | 0 |
| Maximum | 100 |
| Zeros | 2064 |
| Zeros (%) | 11.3% |
| Memory size | 285.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 12 |
| median | 48 |
| Q3 | 92 |
| 95-th percentile | 100 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 80 |
Descriptive statistics
| Standard deviation | 37.865105 |
|---|---|
| Coefficient of variation (CV) | 0.75266267 |
| Kurtosis | -1.5710348 |
| Mean | 50.308201 |
| Median Absolute Deviation (MAD) | 39 |
| Skewness | 0.026686913 |
| Sum | 920137 |
| Variance | 1433.7662 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 2.650480397 × 10-22 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 1 |
|---|---|
| min | 1 day and 1 hour |
| max | 1 day and 1 hour |
| mean | 1 day and 1 hour |
| std | 0 |
| Value | Count | Frequency (%) |
| 100 | 2315 | 12.7% |
| 0 | 2064 | 11.3% |
| 99 | 727 | 4.0% |
| 1 | 356 | 1.9% |
| 98 | 355 | 1.9% |
| 97 | 315 | 1.7% |
| 2 | 301 | 1.6% |
| 70 | 296 | 1.6% |
| 3 | 254 | 1.4% |
| 96 | 231 | 1.3% |
| Other values (91) | 11076 |
| Value | Count | Frequency (%) |
| 0 | 2064 | |
| 1 | 356 | 1.9% |
| 2 | 301 | 1.6% |
| 3 | 254 | 1.4% |
| 4 | 214 | 1.2% |
| 5 | 199 | 1.1% |
| 6 | 192 | 1.0% |
| 7 | 192 | 1.0% |
| 8 | 171 | 0.9% |
| 9 | 184 | 1.0% |
| Value | Count | Frequency (%) |
| 100 | 2315 | |
| 99 | 727 | 4.0% |
| 98 | 355 | 1.9% |
| 97 | 315 | 1.7% |
| 96 | 231 | 1.3% |
| 95 | 181 | 1.0% |
| 94 | 188 | 1.0% |
| 93 | 161 | 0.9% |
| 92 | 151 | 0.8% |
| 91 | 120 | 0.7% |
ACF and PACF
fltIndiceUV
Numeric time series
Non stationary Seasonal Zeros
| Distinct | 60 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.9763095 |
|---|---|
| Minimum | 0 |
| Maximum | 14 |
| Zeros | 10148 |
| Zeros (%) | 55.5% |
| Memory size | 285.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 3 |
| 95-th percentile | 9 |
| Maximum | 14 |
| Range | 14 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 3.181351 |
|---|---|
| Coefficient of variation (CV) | 1.6097434 |
| Kurtosis | 3.0343912 |
| Mean | 1.9763095 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.9037097 |
| Sum | 36146.7 |
| Variance | 10.120994 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 7.626831966 × 10-7 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 1 |
|---|---|
| min | 1 day and 1 hour |
| max | 1 day and 1 hour |
| mean | 1 day and 1 hour |
| std | 0 |
| Value | Count | Frequency (%) |
| 0 | 10148 | |
| 1 | 1525 | 8.3% |
| 2 | 1515 | 8.3% |
| 3 | 1159 | 6.3% |
| 5 | 957 | 5.2% |
| 4 | 780 | 4.3% |
| 12 | 440 | 2.4% |
| 9 | 422 | 2.3% |
| 6 | 321 | 1.8% |
| 8 | 252 | 1.4% |
| Other values (50) | 771 | 4.2% |
| Value | Count | Frequency (%) |
| 0 | 10148 | |
| 0.1 | 5 | < 0.1% |
| 0.2 | 8 | < 0.1% |
| 0.3 | 5 | < 0.1% |
| 0.4 | 1 | < 0.1% |
| 0.5 | 1 | < 0.1% |
| 0.6 | 3 | < 0.1% |
| 0.7 | 1 | < 0.1% |
| 0.8 | 2 | < 0.1% |
| 0.9 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 14 | 124 | 0.7% |
| 13 | 70 | 0.4% |
| 12 | 440 | |
| 11 | 127 | 0.7% |
| 10 | 132 | 0.7% |
| 9 | 422 | |
| 8 | 252 | |
| 7 | 234 | |
| 6.5 | 3 | < 0.1% |
| 6.3 | 1 | < 0.1% |
ACF and PACF
iCodCondCielo
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 285.8 KiB |
| 1 | |
|---|---|
| 4 | |
| 3 | |
| 5 | |
| 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 4 |
|---|---|
| 2nd row | 4 |
| 3rd row | 3 |
| 4th row | 3 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 6482 | |
| 4 | 3485 | |
| 3 | 3447 | |
| 5 | 2809 | |
| 2 | 2067 | 11.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 6482 | |
| 4 | 3485 | |
| 3 | 3447 | |
| 5 | 2809 | |
| 2 | 2067 | 11.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 6482 | |
| 4 | 3485 | |
| 3 | 3447 | |
| 5 | 2809 | |
| 2 | 2067 | 11.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 18290 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 6482 | |
| 4 | 3485 | |
| 3 | 3447 | |
| 5 | 2809 | |
| 2 | 2067 | 11.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 18290 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 6482 | |
| 4 | 3485 | |
| 3 | 3447 | |
| 5 | 2809 | |
| 2 | 2067 | 11.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 18290 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 6482 | |
| 4 | 3485 | |
| 3 | 3447 | |
| 5 | 2809 | |
| 2 | 2067 | 11.3% |
iCodDirViento
Numeric time series
Non stationary Seasonal
| Distinct | 8 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.354292 |
|---|---|
| Minimum | 1 |
| Maximum | 8 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 285.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 4 |
| median | 4 |
| Q3 | 4 |
| 95-th percentile | 8 |
| Maximum | 8 |
| Range | 7 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 1.503676 |
|---|---|
| Coefficient of variation (CV) | 0.34533192 |
| Kurtosis | 0.84316034 |
| Mean | 4.354292 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.0144575 |
| Sum | 79640 |
| Variance | 2.2610415 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 3.988474166 × 10-23 |
Histogram with fixed size bins (bins=8)
Gap statistics
| number of gaps | 1 |
|---|---|
| min | 1 day and 1 hour |
| max | 1 day and 1 hour |
| mean | 1 day and 1 hour |
| std | 0 |
| Value | Count | Frequency (%) |
| 4 | 11114 | |
| 3 | 2023 | 11.1% |
| 6 | 1450 | 7.9% |
| 8 | 1391 | 7.6% |
| 2 | 1075 | 5.9% |
| 7 | 828 | 4.5% |
| 5 | 233 | 1.3% |
| 1 | 176 | 1.0% |
| Value | Count | Frequency (%) |
| 1 | 176 | 1.0% |
| 2 | 1075 | 5.9% |
| 3 | 2023 | 11.1% |
| 4 | 11114 | |
| 5 | 233 | 1.3% |
| 6 | 1450 | 7.9% |
| 7 | 828 | 4.5% |
| 8 | 1391 | 7.6% |
| Value | Count | Frequency (%) |
| 8 | 1391 | 7.6% |
| 7 | 828 | 4.5% |
| 6 | 1450 | 7.9% |
| 5 | 233 | 1.3% |
| 4 | 11114 | |
| 3 | 2023 | 11.1% |
| 2 | 1075 | 5.9% |
| 1 | 176 | 1.0% |
ACF and PACF
fltVelocidadRafaga
Numeric time series
Non stationary Seasonal
| Distinct | 53 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 25.116293 |
|---|---|
| Minimum | 4 |
| Maximum | 74 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 285.8 KiB |
Quantile statistics
| Minimum | 4 |
|---|---|
| 5-th percentile | 11 |
| Q1 | 17 |
| median | 22 |
| Q3 | 32 |
| 95-th percentile | 44 |
| Maximum | 74 |
| Range | 70 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 10.70705 |
|---|---|
| Coefficient of variation (CV) | 0.42629896 |
| Kurtosis | -0.19157783 |
| Mean | 25.116293 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 0.688877 |
| Sum | 459377 |
| Variance | 114.64091 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 3.314103792 × 10-19 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 1 |
|---|---|
| min | 1 day and 1 hour |
| max | 1 day and 1 hour |
| mean | 1 day and 1 hour |
| std | 0 |
| Value | Count | Frequency (%) |
| 15 | 1760 | 9.6% |
| 17 | 1406 | 7.7% |
| 20 | 1329 | 7.3% |
| 19 | 1319 | 7.2% |
| 13 | 1265 | 6.9% |
| 22 | 1030 | 5.6% |
| 24 | 970 | 5.3% |
| 30 | 890 | 4.9% |
| 26 | 868 | 4.7% |
| 28 | 801 | 4.4% |
| Other values (43) | 6652 |
| Value | Count | Frequency (%) |
| 4 | 6 | < 0.1% |
| 5 | 3 | < 0.1% |
| 6 | 15 | 0.1% |
| 7 | 63 | 0.3% |
| 8 | 4 | < 0.1% |
| 9 | 258 | 1.4% |
| 10 | 70 | 0.4% |
| 11 | 738 | |
| 12 | 14 | 0.1% |
| 13 | 1265 |
| Value | Count | Frequency (%) |
| 74 | 1 | < 0.1% |
| 67 | 4 | < 0.1% |
| 65 | 3 | < 0.1% |
| 63 | 8 | < 0.1% |
| 61 | 9 | < 0.1% |
| 59 | 14 | 0.1% |
| 57 | 31 | |
| 56 | 41 | |
| 55 | 1 | < 0.1% |
| 54 | 75 |
ACF and PACF
fltPrecipitacion
Numeric time series
Skewed Zeros
| Distinct | 16 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.0016894478 |
|---|---|
| Minimum | 0 |
| Maximum | 2.1 |
| Zeros | 18241 |
| Zeros (%) | 99.7% |
| Memory size | 285.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 2.1 |
| Range | 2.1 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.046671598 |
|---|---|
| Coefficient of variation (CV) | 27.625357 |
| Kurtosis | 1253.4688 |
| Mean | 0.0016894478 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 34.190378 |
| Sum | 30.9 |
| Variance | 0.0021782381 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 6.074961025 × 10-30 |
Histogram with fixed size bins (bins=16)
Gap statistics
| number of gaps | 1 |
|---|---|
| min | 1 day and 1 hour |
| max | 1 day and 1 hour |
| mean | 1 day and 1 hour |
| std | 0 |
| Value | Count | Frequency (%) |
| 0 | 18241 | |
| 0.2 | 13 | 0.1% |
| 0.1 | 12 | 0.1% |
| 0.4 | 5 | < 0.1% |
| 1.4 | 3 | < 0.1% |
| 2 | 2 | < 0.1% |
| 1.3 | 2 | < 0.1% |
| 1.6 | 2 | < 0.1% |
| 1.2 | 2 | < 0.1% |
| 0.3 | 2 | < 0.1% |
| Other values (6) | 6 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 18241 | |
| 0.1 | 12 | 0.1% |
| 0.2 | 13 | 0.1% |
| 0.3 | 2 | < 0.1% |
| 0.4 | 5 | < 0.1% |
| 0.5 | 1 | < 0.1% |
| 0.8 | 1 | < 0.1% |
| 1.1 | 1 | < 0.1% |
| 1.2 | 2 | < 0.1% |
| 1.3 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 2.1 | 1 | < 0.1% |
| 2 | 2 | |
| 1.9 | 1 | < 0.1% |
| 1.7 | 1 | < 0.1% |
| 1.6 | 2 | |
| 1.4 | 3 | |
| 1.3 | 2 | |
| 1.2 | 2 | |
| 1.1 | 1 | < 0.1% |
| 0.8 | 1 | < 0.1% |
ACF and PACF
fltDPT
Numeric time series
Non stationary Seasonal Zeros
| Distinct | 21 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.8381629 |
|---|---|
| Minimum | 0 |
| Maximum | 20 |
| Zeros | 338 |
| Zeros (%) | 1.8% |
| Memory size | 285.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 6 |
| median | 10 |
| Q3 | 14 |
| 95-th percentile | 16 |
| Maximum | 20 |
| Range | 20 |
| Interquartile range (IQR) | 8 |
Descriptive statistics
| Standard deviation | 4.8037258 |
|---|---|
| Coefficient of variation (CV) | 0.48827467 |
| Kurtosis | -0.99551865 |
| Mean | 9.8381629 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | -0.3470345 |
| Sum | 179940 |
| Variance | 23.075781 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 4.298931067 × 10-7 |
Histogram with fixed size bins (bins=21)
Gap statistics
| number of gaps | 1 |
|---|---|
| min | 1 day and 1 hour |
| max | 1 day and 1 hour |
| mean | 1 day and 1 hour |
| std | 0 |
| Value | Count | Frequency (%) |
| 15 | 1747 | 9.6% |
| 14 | 1587 | 8.7% |
| 16 | 1351 | 7.4% |
| 13 | 1300 | 7.1% |
| 11 | 1261 | 6.9% |
| 12 | 1207 | 6.6% |
| 10 | 1185 | 6.5% |
| 9 | 1132 | 6.2% |
| 8 | 974 | 5.3% |
| 7 | 883 | 4.8% |
| Other values (11) | 5663 |
| Value | Count | Frequency (%) |
| 0 | 338 | 1.8% |
| 1 | 687 | |
| 2 | 707 | |
| 3 | 871 | |
| 4 | 713 | |
| 5 | 809 | |
| 6 | 850 | |
| 7 | 883 | |
| 8 | 974 | |
| 9 | 1132 |
| Value | Count | Frequency (%) |
| 20 | 1 | < 0.1% |
| 19 | 20 | 0.1% |
| 18 | 185 | 1.0% |
| 17 | 482 | 2.6% |
| 16 | 1351 | |
| 15 | 1747 | |
| 14 | 1587 | |
| 13 | 1300 | |
| 12 | 1207 | |
| 11 | 1261 |
ACF and PACF
Interactions
Missing values
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
Sample
| dtHora | fltValPronostico | iNumDia | iNumAnio | iNumSemana | iNumDiaSemana | iNumMes | iCodDia | iCodHora | iNumHora | fltTemp | fltProbabilidadLluvia | fltHumedadRelativa | fltVelocidadViento | fltCoberturaNubes | fltIndiceUV | iCodCondCielo | iCodDirViento | fltVelocidadRafaga | fltPrecipitacion | fltDPT | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-09-01 00:00:00 | 2022-09-01 00:00:00 | 0.000000 | 1 | 2022 | 36 | 5 | 9 | 6452 | 154847 | 24 | 19 | 7 | 77 | 15 | 98 | 0.0 | 4 | 4 | 32 | 0.0 | 15 |
| 2022-09-01 01:00:00 | 2022-09-01 01:00:00 | 0.000000 | 1 | 2022 | 36 | 5 | 9 | 6453 | 154848 | 1 | 19 | 7 | 82 | 13 | 82 | 0.0 | 4 | 4 | 32 | 0.0 | 16 |
| 2022-09-01 02:00:00 | 2022-09-01 02:00:00 | 0.000000 | 1 | 2022 | 36 | 5 | 9 | 6453 | 154849 | 2 | 18 | 9 | 85 | 11 | 73 | 0.0 | 3 | 4 | 28 | 0.0 | 16 |
| 2022-09-01 03:00:00 | 2022-09-01 03:00:00 | 0.000000 | 1 | 2022 | 36 | 5 | 9 | 6453 | 154850 | 3 | 18 | 11 | 87 | 11 | 63 | 0.0 | 3 | 4 | 26 | 0.0 | 16 |
| 2022-09-01 04:00:00 | 2022-09-01 04:00:00 | 0.000000 | 1 | 2022 | 36 | 5 | 9 | 6453 | 154851 | 4 | 18 | 11 | 88 | 11 | 70 | 0.0 | 3 | 4 | 24 | 0.0 | 16 |
| 2022-09-01 05:00:00 | 2022-09-01 05:00:00 | 0.000000 | 1 | 2022 | 36 | 5 | 9 | 6453 | 154852 | 5 | 17 | 15 | 86 | 11 | 45 | 0.0 | 3 | 4 | 22 | 0.0 | 14 |
| 2022-09-01 06:00:00 | 2022-09-01 06:00:00 | 0.000000 | 1 | 2022 | 36 | 5 | 9 | 6453 | 154853 | 6 | 18 | 47 | 89 | 11 | 54 | 0.0 | 3 | 4 | 22 | 0.0 | 16 |
| 2022-09-01 07:00:00 | 2022-09-01 07:00:00 | 6.584959 | 1 | 2022 | 36 | 5 | 9 | 6453 | 154854 | 7 | 18 | 51 | 95 | 9 | 70 | 0.0 | 4 | 4 | 22 | 0.0 | 17 |
| 2022-09-01 08:00:00 | 2022-09-01 08:00:00 | 560.422022 | 1 | 2022 | 36 | 5 | 9 | 6453 | 154855 | 8 | 18 | 47 | 100 | 9 | 72 | 0.0 | 3 | 4 | 22 | 0.0 | 18 |
| 2022-09-01 09:00:00 | 2022-09-01 09:00:00 | 7720.582326 | 1 | 2022 | 36 | 5 | 9 | 6453 | 154856 | 9 | 18 | 5 | 100 | 9 | 81 | 1.0 | 4 | 4 | 22 | 0.0 | 18 |
| dtHora | fltValPronostico | iNumDia | iNumAnio | iNumSemana | iNumDiaSemana | iNumMes | iCodDia | iCodHora | iNumHora | fltTemp | fltProbabilidadLluvia | fltHumedadRelativa | fltVelocidadViento | fltCoberturaNubes | fltIndiceUV | iCodCondCielo | iCodDirViento | fltVelocidadRafaga | fltPrecipitacion | fltDPT | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024-10-02 15:00:00 | 2024-10-02 15:00:00 | 25562.0 | 2 | 2024 | 40 | 4 | 10 | 7215 | 173151 | 15 | 25 | 0 | 34 | 13 | 43 | 5.0 | 3 | 3 | 24 | 0.0 | 8 |
| 2024-10-02 16:00:00 | 2024-10-02 16:00:00 | 25386.0 | 2 | 2024 | 40 | 4 | 10 | 7215 | 173152 | 16 | 26 | 0 | 31 | 13 | 25 | 4.0 | 2 | 3 | 24 | 0.0 | 8 |
| 2024-10-02 17:00:00 | 2024-10-02 17:00:00 | 22872.0 | 2 | 2024 | 40 | 4 | 10 | 7215 | 173153 | 17 | 26 | 0 | 32 | 15 | 18 | 2.0 | 1 | 4 | 28 | 0.0 | 8 |
| 2024-10-02 18:00:00 | 2024-10-02 18:00:00 | 15825.0 | 2 | 2024 | 40 | 4 | 10 | 7215 | 173154 | 18 | 25 | 0 | 33 | 17 | 11 | 1.0 | 1 | 4 | 32 | 0.0 | 8 |
| 2024-10-02 19:00:00 | 2024-10-02 19:00:00 | 1450.0 | 2 | 2024 | 40 | 4 | 10 | 7215 | 173155 | 19 | 23 | 0 | 38 | 19 | 3 | 0.0 | 1 | 4 | 37 | 0.0 | 8 |
| 2024-10-02 20:00:00 | 2024-10-02 20:00:00 | 0.0 | 2 | 2024 | 40 | 4 | 10 | 7215 | 173156 | 20 | 22 | 0 | 45 | 20 | 2 | 0.0 | 1 | 4 | 37 | 0.0 | 9 |
| 2024-10-02 21:00:00 | 2024-10-02 21:00:00 | 0.0 | 2 | 2024 | 40 | 4 | 10 | 7215 | 173157 | 21 | 20 | 0 | 54 | 19 | 1 | 0.0 | 1 | 4 | 39 | 0.0 | 10 |
| 2024-10-02 22:00:00 | 2024-10-02 22:00:00 | 0.0 | 2 | 2024 | 40 | 4 | 10 | 7215 | 173158 | 22 | 18 | 0 | 62 | 19 | 0 | 0.0 | 1 | 4 | 41 | 0.0 | 11 |
| 2024-10-02 23:00:00 | 2024-10-02 23:00:00 | 0.0 | 2 | 2024 | 40 | 4 | 10 | 7215 | 173159 | 23 | 17 | 0 | 69 | 15 | 0 | 0.0 | 1 | 4 | 32 | 0.0 | 11 |
| 2024-10-03 00:00:00 | 2024-10-03 00:00:00 | 0.0 | 3 | 2024 | 40 | 5 | 10 | 7215 | 173160 | 24 | 16 | 0 | 73 | 9 | 0 | 0.0 | 1 | 4 | 22 | 0.0 | 11 |